Matthew R. Incha

This paper introduces a membrane-free spot-plating protocol for Agrobacterium-mediated transformation of diverse yeasts, improving efficiency and reducing costs.

This paper refactors the Agrobacterium tumor-inducing plasmid into a minimal set of genes for plant and fungal transformation, demonstrating a bottom-up engineering approach.

This study uses RB-TnSeq to identify genetic basis of dicarboxylic acid metabolism in β-proteobacteria, revealing distinct metabolic pathways and enabling plastic waste upcycling.

The paper uses transposon sequencing data to characterize AraC/XylS family regulators in Pseudomonas putida, identifying inducer responses and improving inducible systems in E. coli.

Foldy provides a cloud-based platform for non-expert scientists to access AI-based structural biology tools like AlphaFold and DiffDock for protein structure prediction and ligand docking.

This paper engineers Pseudomonas putida KT2440 to produce medium- and long-chain free fatty acids and oleochemicals, achieving titers up to 670 mg/L.

The paper develops a highly sensitive biosensor for caprolactam and valerolactam from Pseudomonas putida, capable of detecting product titers above background at ~6 g/L.

The paper characterizes two glutarate-sensing transcription factors in Pseudomonas putida and develops biosensors to detect glutarate flux for metabolic engineering.